Rosternomics

All-Time GM / POBO Leaderboard

Every decision-maker since 1985, ranked by WAB — Wins Above Budget, the resource-controlled metric (did you win more than your budget predicted?). = currently active. Click any header to sort. All figures are franchise-level outcomes during the tenure, not solely attributable to one person.

Tenure length: to years  Team:
   showing 42 of 195 execs — compare like-tenured GMs apples-to-apples  reset
ExecutiveTeam(s)TenureYrs WAB WAB/yr TAB TAB/yr Acq Lev WAR surplus WAR / yr Avg WAR/plyr HG HG/yr Trade Trade/yr Trades Trades/yr FA FA/yr Draft % FA % Trade % R5 % W-L% PO Pen WS
Andrew Friedman LAD TBR 2006–present 21 +192.5 +10.13 +231.1 +11.00 2.37 -1.2 -0.06 -0.001 +255.1 +12.15 +94.3 +4.49 130 6.2 -155.0 -7.38 44% 26% 31% 0% 0.572 15 6 3
Chris Antonetti CLE 2011–present 16 +142.7 +10.19 +110.7 +6.92 1.60 +159.5 +9.97 +0.220 +147.3 +9.21 +13.2 +0.83 80 5.0 -49.7 -3.10 62% 9% 28% 1% 0.538 8 1
Erik Neander TBR 2017–present 10 +124.6 +15.57 +119.3 +11.93 1.37 +181.3 +18.13 +0.351 +37.3 +3.73 -14.4 -1.44 112 11.2 -40.7 -4.07 20% 20% 59% 1% 0.554 5 1
Mike Chernoff CLE 2016–present 11 +122.1 +13.56 +97.0 +8.82 2.07 +130.8 +11.89 +0.263 +94.8 +8.62 -4.2 -0.38 56 5.1 -33.0 -3.00 64% 12% 23% 1% 0.556 7 1
Brian Cashman NYY 1999–present 28 +87.8 +3.38 +53.4 +1.91 2.22 -904.9 -32.32 -0.770 +324.5 +11.59 -17.6 -0.63 166 5.9 -83.3 -2.97 42% 43% 14% 0% 0.581 22 6 3
Matt Arnold MIL 2021–present 6 +67.6 +13.51 +45.0 +7.50 1.74 +51.7 +8.61 +0.165 +41.8 +6.97 +22.2 +3.70 52 8.7 -11.9 -1.99 41% 13% 44% 2% 0.576 4
Alex Anthopoulos ATL TOR 2010–2015, 2018–present 15 +63.9 +4.92 +49.8 +3.32 1.50 -58.1 -3.87 -0.079 +113.3 +7.55 -33.7 -2.24 88 5.9 -30.0 -2.00 37% 35% 28% 0% 0.544 8 1 1
David Stearns MIL NYM 2016–2022, 2024–present 10 +48.3 +6.04 +43.7 +4.37 1.42 -35.7 -3.57 -0.069 +33.2 +3.32 +51.1 +5.11 67 6.7 -15.8 -1.58 20% 35% 44% 0% 0.531 5
Brandon Gomes LAD 2022–present 5 +45.8 +11.45 +45.5 +9.11 2.35 -70.2 -14.04 -0.260 +40.9 +8.19 +2.6 +0.52 39 7.8 +10.6 +2.12 34% 53% 13% 0% 0.623 4 2 2
Peter Bendix MIA TBR 2022–present 5 +37.6 +9.41 +30.7 +6.15 1.16 +62.6 +12.53 +0.227 +16.5 +3.29 -2.4 -0.48 46 9.2 +2.3 +0.46 34% 18% 44% 5% 0.499 2
Jerry Dipoto ANA ARI SEA 2010–present 17 +35.5 +2.37 +13.9 +0.81 1.43 -74.4 -4.37 -0.089 +132.7 +7.81 +38.9 +2.29 132 7.8 -124.5 -7.32 42% 10% 48% 0% 0.519 3
Scott Harris DET SFG 2019–present 8 +26.6 +4.43 +3.8 +0.48 1.32 -44.2 -5.52 -0.105 +30.5 +3.82 +2.5 +0.31 45 5.6 -16.0 -2.00 31% 61% 9% 0% 0.521 3
Justin Hollander SEA 2023–present 4 +21.2 +7.06 +25.7 +6.41 2.34 +18.0 +4.51 +0.093 +19.1 +4.78 +5.7 +1.43 33 8.2 -8.2 -2.04 62% 4% 34% 0% 0.539 1
Mike Elias BAL 2019–present 8 +19.5 +3.26 +16.9 +2.12 1.23 +40.9 +5.11 +0.093 +66.0 +8.25 -1.8 -0.23 50 6.2 -2.9 -0.37 69% 7% 20% 4% 0.467 2
David Forst OAK 2016–present 11 +19.0 +2.11 +6.0 +0.54 0.90 +58.7 +5.34 +0.104 +47.5 +4.31 -0.0 -0.00 67 6.1 -73.0 -6.63 48% 11% 41% 0% 0.471 3
Jeff Greenberg DET 2024–present 3 +16.7 +8.37 +12.0 +3.99 1.81 +2.6 +0.85 +0.018 +17.6 +5.87 -0.8 -0.27 13 4.3 +2.7 +0.91 79% 21% 0% 0% 0.512 2
Derek Falvey MIN 2017–present 10 +13.9 +1.73 +38.7 +3.87 1.66 +31.6 +3.16 +0.064 +50.6 +5.06 -0.5 -0.05 52 5.2 -25.4 -2.54 37% 38% 26% 0% 0.506 4
Mike Girsch STL 2018–present 9 +10.3 +1.47 -1.3 -0.15 1.31 -62.9 -6.99 -0.158 +59.1 +6.56 +2.5 +0.28 37 4.1 -21.2 -2.35 46% 16% 38% 0% 0.525 4
Dana Brown HOU 2023–present 4 +8.8 +2.94 +8.9 +2.22 3.19 -47.5 -11.87 -0.243 +3.0 +0.74 +3.9 +0.96 20 5.0 -3.8 -0.96 17% 68% 16% 0% 0.535 2
Jed Hoyer BOS CHC SDP 2006–2006, 2010–present 18 +6.7 +0.42 +23.5 +1.30 1.36 -126.5 -7.03 -0.149 +157.3 +8.74 +12.5 +0.69 109 6.1 -37.8 -2.10 36% 30% 34% 1% 0.511 6 1 1
Preston Mattingly PHI 2025–present 2 +5.3 +5.28 +8.7 +4.36 1.98 -37.9 -18.97 -0.480 -1.0 -0.51 -0.0 -0.01 7 3.5 -4.8 -2.38 0% 25% 75% 0% 0.575 1
Craig Breslow BOS 2024–present 3 +4.8 +2.40 +10.7 +3.56 2.36 -7.2 -2.39 -0.048 +8.0 +2.66 +3.0 +1.01 23 7.7 +0.9 +0.29 26% 38% 36% 0% 0.510 1
Buster Posey SFG 2025–present 2 +0.4 +0.40 -0.8 -0.39 0.82 -15.4 -7.72 -0.172 -0.2 -0.12 +0.7 +0.35 8 4.0 +3.7 +1.84 0% 83% 16% 1% 0.471
Zack Minasian SFG 2025–present 2 +0.4 +0.40 -0.8 -0.39 0.82 -15.4 -7.72 -0.172 -0.2 -0.12 +0.7 +0.35 8 4.0 +3.7 +1.84 0% 83% 16% 1% 0.471
Anirudh Kilambi WSN 2026–present 1 +0.0 +0.0 +0.00 +6.1 +6.11 +0.170 -0.1 -0.12 +0.9 +0.89 5 5.0 -1.3 -1.27 0% 0% 100% 0% 0.508
Gabe Kapler MIA 2026–present 1 +0.0 +0.0 +0.00 +6.4 +6.37 +0.177 +0.0 +0.00 -0.7 -0.70 5 5.0 -0.0 -0.03 0% 0% 0% 0% 0.462
Paul Toboni WSN 2026–present 1 +0.0 +0.0 +0.00 +6.1 +6.11 +0.170 -0.1 -0.12 +0.9 +0.89 5 5.0 -1.3 -1.27 0% 0% 100% 0% 0.508
Josh Byrnes ARI COL SDP 2006–2010, 2012–2014, 2026–present 9 -2.4 -0.30 -9.6 -1.07 0.50 +6.7 +0.74 +0.020 +88.1 +9.79 -93.5 -10.39 53 5.9 -13.3 -1.48 56% 13% 31% 0% 0.467 1
Ross Atkins TOR 2016–present 11 -4.4 -0.49 +2.9 +0.26 1.42 -104.0 -9.45 -0.180 +68.9 +6.27 +23.6 +2.14 69 6.3 -4.3 -0.39 38% 40% 23% 0% 0.510 5 1
Mike Hazen ARI BOS 2015–2015, 2017–present 11 -4.7 -0.52 +4.0 +0.37 1.04 -24.0 -2.18 -0.044 +54.2 +4.93 -15.6 -1.42 61 5.5 -10.8 -0.98 43% 29% 27% 0% 0.490 2 1
Ross Fenstermaker TEX 2025–present 2 -6.3 -6.29 -5.0 -2.52 0.78 -34.1 -17.06 -0.401 -0.4 -0.20 -1.1 -0.55 10 5.0 -3.9 -1.94 0% 100% 0% 0% 0.496
Jeremy Zoll MIN 2025–present 2 -6.6 -6.60 +2.9 +1.46 1.17 +9.6 +4.79 +0.104 +2.8 +1.40 -2.4 -1.18 17 8.5 -1.0 -0.51 56% 0% 44% 0% 0.439
Chaim Bloom BOS STL 2020–2023, 2026–present 5 -6.8 -2.28 -12.7 -2.54 0.95 -50.0 -9.99 -0.204 +22.2 +4.44 +11.0 +2.20 38 7.6 -42.9 -8.58 31% 36% 24% 10% 0.503 1
Nick Krall CIN 2018–present 9 -13.7 -1.96 -14.4 -1.60 0.65 -18.1 -2.01 -0.039 +66.9 +7.44 -10.9 -1.21 53 5.9 -44.5 -4.94 69% 26% 5% 0% 0.470 2
Carter Hawkins CHC 2021–present 6 -14.9 -2.98 -8.2 -1.37 1.62 -61.8 -10.30 -0.190 +37.6 +6.27 -9.3 -1.55 38 6.3 +3.0 +0.51 45% 48% 7% 0% 0.499 1
AJ Preller SDP 2015–present 12 -19.3 -1.93 -12.2 -1.02 0.80 -75.6 -6.30 -0.127 +41.0 +3.42 +3.1 +0.26 79 6.6 -28.2 -2.35 20% 36% 44% 0% 0.489 4
J.J. Picollo KCR 2021–present 6 -22.0 -4.39 -11.0 -1.83 1.26 -16.5 -2.75 -0.059 +55.6 +9.27 +1.7 +0.28 35 5.8 +6.8 +1.14 72% 20% 8% 0% 0.445 1
Dave Dombrowski BOS DET MIA PHI WSN 1989–2019, 2021–present 36 -26.7 -0.74 +28.0 +0.78 1.31 -323.3 -8.98 -0.231 +335.6 +9.32 +24.6 +0.68 206 5.7 -49.3 -1.37 36% 27% 37% 0% 0.503 13 5 2
Ben Cherington BOS PIT 2006–2006, 2012–2015, 2020–present 12 -33.1 -3.31 -41.0 -3.42 0.83 -107.0 -8.92 -0.190 +68.3 +5.69 +17.3 +1.44 83 6.9 -13.5 -1.13 40% 24% 36% 0% 0.458 1 1 1
Chris Young TEX 2021–present 6 -36.6 -7.32 -18.4 -3.06 0.90 -80.3 -13.38 -0.273 +27.5 +4.59 +4.0 +0.67 35 5.8 +46.1 +7.68 26% 66% 8% 0% 0.467 1 1 1
Chris Getz CHW 2024–present 3 -47.1 -23.55 -32.2 -10.74 0.12 -17.9 -5.97 -0.109 +16.3 +5.42 +2.1 +0.70 21 7.0 -10.8 -3.61 64% 0% 35% 2% 0.348
Perry Minasian ANA 2021–present 6 -63.1 -12.62 -73.9 -12.31 0.65 -132.1 -22.02 -0.368 +16.2 +2.70 -11.7 -1.95 30 5.0 -32.0 -5.34 71% 20% 9% 0% 0.437

WAB (default sort) = wins above what payroll predicted — resource-controlled. WAR surplus = era-neutral value per dollar (wins minus payroll in win-equivalents). The build channels show how the value was sourced, all in realized fWAR: HG = home-grown (amateur draft + international signing — your farm's output); Trade = acquired minus surrendered (incl. purchases/waiver claims); FA = value from free agents signed minus value of FAs who walked. Each has a per-season rate next to it. The four % columns are each channel's share of gross-positive acquired fWAR (Draft + FA + Trade + R5 ≈ 100%), where R5 = Rule-5 / minor-league draft pickups (split out from trades). Acq Lev (acquisition leverage) = playoff-probability points each *bought* (FA/trade) win added given the roster it joined — playoff odds are an S-curve in roster WAR (flat far from contention, steep near the ~45-WAR threshold), so a bought win is worth a lot on a near-threshold roster and almost nothing on a baseless one. High ≈ 2.5 (buys wins where they matter, e.g. Friedman/Schuerholz); low ≈ 0.4 (buys onto rosters too far from contention). It's a process measure — independent of how the acquired players then performed. All are franchise-level outcomes credited to whoever ran baseball ops in the acquisition year — home-grown to the GM at the player's draft/signing, trade/FA/R5 to the GM who made the move (so e.g. a star drafted under a prior regime is credited to that regime, not whoever was in the chair when he peaked).